deploy: db88124

scverse-bot · scverse-bot · commit 7ab987edf1d2 · 2026-03-31T07:11:47.000Z
diff --git a/index.html b/index.html
@@ -1,4 +1,4 @@
-<!doctype html><html lang=en><head><meta name=generator content="Hugo 0.159.0"><title>scverse</title><link rel=stylesheet type=text/css href=/bootstrap/css/bootstrap.min.css><link rel=stylesheet type=text/css href=/bootstrap/icons/bootstrap-icons.css><link rel=stylesheet type=text/css href=/main.min.css><link rel=apple-touch-icon sizes=180x180 href=/img/favicon/apple-touch-icon.png><link rel=icon type=image/png sizes=32x32 href=/img/favicon/favicon-32x32.png><link rel=icon type=image/png sizes=16x16 href=/img/favicon/favicon-16x16.png><link rel=manifest href=/img/favicon/site.webmanifest><link rel=mask-icon href=/img/favicon/safari-pinned-tab.svg color=#000000><link rel="shortcut icon" href=/img/favicon/favicon.ico><meta name=msapplication-TileColor content="#00aba9"><meta name=msapplication-config content="/img/favicon/browserconfig.xml"><meta name=theme-color content="#ffffff"><meta charset=utf-8><meta content="utf-8" http-equiv=encoding><meta name=twitter:card content="summary"><meta name=twitter:title content="scverse"><meta name=twitter:description content="Foundational tools for single-cell omics data analysis"><meta property="og:url" content="https://scverse.org/"><meta property="og:site_name" content="scverse"><meta property="og:title" content="scverse"><meta property="og:description" content="Foundational tools for single-cell omics data analysis"><meta property="og:locale" content="en_us"><meta property="og:type" content="website"><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><script src=/main.js></script><script src=/bootstrap/js/bootstrap.bundle.min.js async></script><script data-goatcounter=https://scverse.goatcounter.com/count async src=//gc.zgo.at/count.js></script></head><body><header><div class=container style=max-width:1200px><nav class="navbar navbar-expand-lg navbar-light"><div class=container-fluid style=padding:0><a class="navbar-brand row align-items-center m-0" href=/><div id=scverse-logo class=col></div><span class=visually-hidden>scverse</span>
+<!doctype html><html lang=en><head><meta name=generator content="Hugo 0.159.1"><title>scverse</title><link rel=stylesheet type=text/css href=/bootstrap/css/bootstrap.min.css><link rel=stylesheet type=text/css href=/bootstrap/icons/bootstrap-icons.css><link rel=stylesheet type=text/css href=/main.min.css><link rel=apple-touch-icon sizes=180x180 href=/img/favicon/apple-touch-icon.png><link rel=icon type=image/png sizes=32x32 href=/img/favicon/favicon-32x32.png><link rel=icon type=image/png sizes=16x16 href=/img/favicon/favicon-16x16.png><link rel=manifest href=/img/favicon/site.webmanifest><link rel=mask-icon href=/img/favicon/safari-pinned-tab.svg color=#000000><link rel="shortcut icon" href=/img/favicon/favicon.ico><meta name=msapplication-TileColor content="#00aba9"><meta name=msapplication-config content="/img/favicon/browserconfig.xml"><meta name=theme-color content="#ffffff"><meta charset=utf-8><meta content="utf-8" http-equiv=encoding><meta name=twitter:card content="summary"><meta name=twitter:title content="scverse"><meta name=twitter:description content="Foundational tools for single-cell omics data analysis"><meta property="og:url" content="https://scverse.org/"><meta property="og:site_name" content="scverse"><meta property="og:title" content="scverse"><meta property="og:description" content="Foundational tools for single-cell omics data analysis"><meta property="og:locale" content="en_us"><meta property="og:type" content="website"><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><script src=/main.js></script><script src=/bootstrap/js/bootstrap.bundle.min.js async></script><script data-goatcounter=https://scverse.goatcounter.com/count async src=//gc.zgo.at/count.js></script></head><body><header><div class=container style=max-width:1200px><nav class="navbar navbar-expand-lg navbar-light"><div class=container-fluid style=padding:0><a class="navbar-brand row align-items-center m-0" href=/><div id=scverse-logo class=col></div><span class=visually-hidden>scverse</span>
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 <span id=title-desc>Foundational tools for single-cell omics data analysis</span></div></div><div id=badges><a class="btn btn-light btn-github" href=https://github.com/scverse target=_blank>GitHub </a><a class="btn btn-light btn-discourse" href=https://discourse.scverse.org target=_blank>Discourse</a>
diff --git a/packages/index.html b/packages/index.html
@@ -60,7 +60,7 @@
 RNA-seq count matrices.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/huang-sh/GPTBioInsightor target=_blank>GPTBioInsightor</a></td><td>GPTBioInsightor is a tool designed for single-cell data analysis, particularly beneficial for newcomers to a biological field or those in interdisciplinary areas who may lack sufficient biological background knowledge.
 GPTBioInsightor utilizes the powerful capabilities of large language models to help people quickly gain knowledge and insight, enhancing their work efficiency.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/cantinilab/GRnnData target=_blank>GRnnData</a></td><td>An onverload of anndata to more easily work with gene networks.
 Allows easy conversion between anndata and grnndata and provide loads of usefull utilities functions.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/rendeirolab/lazyslide target=_blank>LazySlide</a></td><td>LazySlide is a Python library for processing whole slide images (WSI) analysis. It provides a simple interface to perform robust preprocessing and advanced analysis for WSI.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/cantinilab/mowgli target=_blank>Mowgli</a></td><td>Paired single-cell multi-omics data integration with Optimal Transport-flavored Nonnegative Matrix Factorization</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/welch-lab/MultiVelo target=_blank>Multivelo</a></td><td>A mechanistic model of gene expression that extends the popular RNA velocity
-framework by incorporating epigenomic data.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/loosolab/PEAKQC target=_blank>PEAKQC</a></td><td>periodicity evaluation in scATAC-seq data for quality assessment</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/CostaLab/PILOT target=_blank>PILOT</a></td><td>PILOT is a Python library for Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/saezlab/ParTIpy target=_blank>ParTIpy</a></td><td>Implements Pareto task inference and archetypal analysis for analyzing functional trade-offs in single-cell and spatial omics data.</td></tr><tr class="package-links eco-table-row"><td><a href=https://pathml.org/ target=_blank>PathML</a></td><td>An open-source toolkit for computational pathology and machine learning.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/owkin/PyDESeq2 target=_blank>PyDESeq2</a></td><td>PyDESeq2 is a python package for bulk RNA-seq differential expression analysis. It is a re-implementation
+framework by incorporating epigenomic data.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/loosolab/PEAKQC target=_blank>PEAKQC</a></td><td>periodicity evaluation in scATAC-seq data for quality assessment</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/CostaLab/PILOT target=_blank>PILOT</a></td><td>PILOT is a Python library for Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/saezlab/ParTIpy target=_blank>ParTIpy</a></td><td>Implements Pareto task inference and archetypal analysis for analyzing functional trade-offs in single-cell and spatial omics data.</td></tr><tr class="package-links eco-table-row"><td><a href=https://pathml.org/ target=_blank>PathML</a></td><td>An open-source toolkit for computational pathology and machine learning.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/scverse/PyDESeq2 target=_blank>PyDESeq2</a></td><td>PyDESeq2 is a python package for bulk RNA-seq differential expression analysis. It is a re-implementation
 from scratch of the main features of the R package DESeq2 (Love et al. 2014).</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/ComputationalBiomedicineGroup/Rectangle target=_blank>Rectangle</a></td><td>Rectangle is a python package for computational deconvolution.
 Rectangle presents a novel approach to second-generation deconvolution, characterized by hierarchical processing, an estimation of unknown cellular content and a significant reduction in data volume during signature matrix computation.</td></tr><tr class="package-links eco-table-row"><td><a href=https://github.com/linbuliao/SC2Spa target=_blank>SC2Spa</a></td><td>SC2Spa is a deep learning-based tool for predicting the spatial coordinates of single cells based on transcriptome.
 Two paired single cell and spatial transcriptomic datasets are required to run SC2Spa. SC2Spa is trained on a ST reference
diff --git a/people/index.html b/people/index.html
@@ -87,6 +87,7 @@
 <a href=https://github.com/ArneDefauw target=_blank>Arne Defauw</a>,
 <a href=https://github.com/jpintar target=_blank>Jura Pintar</a>,
 <a href=https://github.com/sjfleming target=_blank>Stephen Fleming</a>,
+<a href=https://github.com/LiudengZhang target=_blank>LiudengZhang</a>,
 <a href=https://github.com/bv2 target=_blank>Britta Velten</a>,
 <a href=https://github.com/Marius1311 target=_blank>Marius Lange</a>,
 <a href=https://github.com/LouisK92 target=_blank>LouisK92</a>,
@@ -111,7 +112,6 @@
 <a href=https://github.com/katosh target=_blank>Dominik J. Otto</a>,
 <a href=https://github.com/jeskowagner target=_blank>Jesko Wagner</a>,
 <a href=https://github.com/chris-rands target=_blank>Chris Rands</a>,
-<a href=https://github.com/LiudengZhang target=_blank>LiudengZhang</a>,
 <a href=https://github.com/mumichae target=_blank>Michaela Müller</a>,
 <a href=https://github.com/berombau target=_blank>Benjamin Rombaut</a>,
 <a href=https://github.com/maximilianh target=_blank>Maximilian Haeussler</a>,
@@ -340,7 +340,7 @@
 <a href=https://github.com/pakiessling target=_blank>Paul Kiessling</a>,
 <a href=https://github.com/mojtababahrami target=_blank>Mojtaba Bahrami</a>,
 <a href=https://github.com/maarten-devries target=_blank>Maarten de Vries</a>,
-<a href=https://github.com/JuanTejedor target=_blank>JuanTejedor</a>,
+<a href=https://github.com/JuanTejedor target=_blank>Juan Andrés Tejedor Serrano</a>,
 <a href=https://github.com/JiriBruthans target=_blank>JiriBruthans</a>,
 <a href=https://github.com/dengzq1234 target=_blank>DENG Ziqi</a>,
 <a href=https://github.com/andr-kun target=_blank>Andrian</a>,

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